Triple

T3736203
Position Surface form Disambiguated ID Type / Status
Subject Navarino Island E79591 entity
Predicate hasHighestPoint P210 FINISHED
Object Dientes de Navarino E337777 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dientes de Navarino | Statement: [Navarino Island, hasHighestPoint, Dientes de Navarino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dientes de Navarino
Context triple: [Navarino Island, hasHighestPoint, Dientes de Navarino]
  • A. Teeth of Navarino chosen
    Teeth of Navarino is a rugged, jagged mountain range on Navarino Island in southern Chile, known for its dramatic peaks and challenging trekking routes near Cape Horn.
  • B. Las Breas
    Las Breas is a small settlement located within the Río Hurtado area of Chile, likely characterized by its rural Andean setting and agricultural activities.
  • C. Melena del Sur
    Melena del Sur is a coastal municipality in western Cuba known for its agricultural activities and proximity to Havana.
  • D. Vale do Lobo
    Vale do Lobo is a luxury seaside resort area in Portugal’s Algarve region, known for its golf courses, beaches, and upscale holiday properties.
  • E. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3b399c819091b42209925c0d8f completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4f857208190a51b264a5affca3d completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:34 p.m.